I am Rush, one of the makers of Onepanel. Onepanel is an open source, production scale vision AI platform, with fully integrated components for model building, automated labeling, data processing and model training pipelines.
We built Onepanel to significantly reduce the complexities with managing infrastructure and disparate tooling and at the same time allow teams to easily integrate their own tools into reproducible pipelines.
Under the hood, we integrate our own and other best of breed open source components [0] to provide a seamless user experience and abstract away infrastructure complexities that come with running parallelized data processing and training pipelines on different cloud providers. We leverage Kubernetes and deploy cloud provider specific components for networking, network policies, auto scaling, automated TLS certificate provisioning, logging, GPU plugins and more [1].
Our near future goals are to add APIs for inference and VNC enabled workspaces [2] so teams can also run simulation environments inside of Onepanel.
We're excited to share Onepanel with the HN community and look forward to hearing your feedback! And of course we welcome and encourage any contributions [3].
very impressive work! Do you know how much it would cost to self host on a cloud provider per month? (operating costs of the underlying infrastructure without running any job)
I am very interested in trying this out and filled out the form. Would love to talk to you about how you came up with the product and how much work it was and such. Please drop me a line if you have some time :)
Cheers
Thanks! You can see the estimated hourly cost and list of required resources for each cloud provider in our "Cluster information" section [0]. Would be happy to talk about the product and the effort, I will reach out to you to discuss.
I am Rush, one of the makers of Onepanel. Onepanel is an open source, production scale vision AI platform, with fully integrated components for model building, automated labeling, data processing and model training pipelines.
We built Onepanel to significantly reduce the complexities with managing infrastructure and disparate tooling and at the same time allow teams to easily integrate their own tools into reproducible pipelines.
Under the hood, we integrate our own and other best of breed open source components [0] to provide a seamless user experience and abstract away infrastructure complexities that come with running parallelized data processing and training pipelines on different cloud providers. We leverage Kubernetes and deploy cloud provider specific components for networking, network policies, auto scaling, automated TLS certificate provisioning, logging, GPU plugins and more [1].
Our near future goals are to add APIs for inference and VNC enabled workspaces [2] so teams can also run simulation environments inside of Onepanel.
We're excited to share Onepanel with the HN community and look forward to hearing your feedback! And of course we welcome and encourage any contributions [3].
[0] https://github.com/onepanelio/core#acknowledgments
[1] https://github.com/onepanelio/manifests
[2] https://github.com/onepanelio/templates/tree/master/workspac...
[3] https://github.com/onepanelio/core#contributing